40 Commits

Author SHA1 Message Date
eric
cc552d49f0 's' 2026-03-22 23:29:04 -05:00
eric
a4b7edd153 's' 2026-03-22 11:36:22 -05:00
eric
746da3d0b6 s'' 2026-03-22 11:32:24 -05:00
eric
0b2ceb4e8c 's' 2026-03-22 11:27:14 -05:00
eric
587c0e10b4 's' 2026-03-19 23:32:57 -05:00
eric
77969c85fe 's' 2026-03-19 13:46:02 -05:00
eric
f0b1f9cf47 's' 2026-03-19 04:04:23 -05:00
eric
219a8cef61 's' 2026-03-19 03:51:16 -05:00
eric
fd3d952ab8 's' 2026-03-19 03:47:47 -05:00
eric
ab6a6cac65 's' 2026-03-19 03:43:15 -05:00
eric
032c75fb6f 's' 2026-03-01 09:58:58 -06:00
eric
950cb0ae4b 's' 2026-03-01 04:10:21 -06:00
eric
9700404418 's' 2026-03-01 04:08:57 -06:00
eric
1da3383735 's' 2026-03-01 04:07:26 -06:00
eric
b850d1a8bc 's' 2026-03-01 04:04:10 -06:00
eric
b6c5185a59 's' 2026-03-01 03:59:47 -06:00
eric
4030a4dc28 's' 2026-03-01 03:50:30 -06:00
eric
00bcaee9fa 's' 2026-03-01 03:47:09 -06:00
eric
54daccea6b '' 2026-03-01 03:39:27 -06:00
root
4eac033e93 s 2026-03-01 09:38:06 +00:00
root
17900701f1 cbnn 2026-03-01 05:29:02 +00:00
eric
033b76bda5 's' 2026-02-28 23:23:40 -06:00
eric
bf6b827e1f 's' 2026-02-28 09:07:11 -06:00
root
b4183ed85b s 2026-02-28 15:00:17 +00:00
Your Name
f0823c7593 s 2026-02-28 11:40:44 +00:00
eric
326ab8aea2 's' 2026-02-23 17:41:36 -06:00
eric
3842833ad0 's' 2026-02-23 17:34:48 -06:00
eric
9e589e6263 's' 2026-02-23 10:00:27 -06:00
eric
7090f4481a 's' 2026-02-23 09:55:21 -06:00
eric
eafcc2b7d0 's' 2026-02-23 09:53:32 -06:00
eric
e510e66c13 's' 2026-02-23 09:48:42 -06:00
eric
d86e8e339d 's' 2026-02-23 09:12:50 -06:00
eric
ba4aaa1b65 's' 2026-02-23 09:02:02 -06:00
eric
475e15bc16 's' 2026-02-23 08:52:35 -06:00
eric
31e77d5203 's' 2026-02-23 08:48:50 -06:00
Your Name
6c383ee489 s 2026-02-23 14:47:48 +00:00
eric
9d3ec4fa2c 's' 2026-02-23 08:25:19 -06:00
root
7402773a3e s 2026-02-23 01:55:23 +00:00
root
140790c4a4 s; 2026-02-23 01:52:32 +00:00
eric
1bdf41ac3f 's' 2026-02-22 06:40:05 -06:00
13 changed files with 552 additions and 490 deletions

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@@ -36,6 +36,4 @@ https://live.douyin.com/573735790640,主播: 小董卤串(餐饮)
https://live.douyin.com/260608582882,主播: 阿伟在炒饭(90後炒饭)
https://live.douyin.com/210443559964,主播: 小小诺
https://live.douyin.com/305363702471,主播: 嘉嘉在摆摊
https://live.douyin.com/737395543665,主播: 西施天馋土豆(努力摆摊)
https://live.douyin.com/109205360966,主播: 郸城胖小胖荷叶馍炸串
https://live.douyin.com/783406789448,主播: 摆摊小天才
https://live.douyin.com/143239713951,主播: ɞ_大馋丫头的烤肠

View File

@@ -1,3 +1,13 @@
[youtube]
# 只写 stream key推荐方式
key = qxvb-r47b-r5ju-6ud3-6k7z
# 必填YouTube 直播推流 key在 YouTube 工作室 → 创建 → 流式传输 获取
; key = qxvb-r47b-r5ju-6ud3-6k7z
key = x04z-564w-aks7-embw-30y4
# 可选:是否使用 RTMPS 加密推流,填 否 则用 RTMP默认 RTMPS
; rtmps = 否
# 可选:视频比特率 kbpsYouTube 推荐 2500可填 3000-4500 提高画质
; bitrate = 2500
# 可选:软编 speed 长期小于 1 时开启——轻量音频链(无 arnndn/长 EQ减轻 CPU。填 1 或 是
fast_audio = 1

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@@ -0,0 +1,119 @@
# 实时音频处理最佳方案Demucs + RTX 3060
## 一、方案对比
| 方案 | 版权规避率 | 延迟 | 算力 | 复杂度 |
|------|------------|------|------|--------|
| **FFmpeg 纯滤波**(当前) | 60-70% | 0 | 低 | 低 |
| **Demucs 人声分离** | 90%+ | 4-8s | RTX 3060 | 中高 |
---
## 二、推荐架构Demucs 实时管道
```
抖音流 ─┬─ FFmpeg 解复用 ─┬─ 视频 ─────────────────────────────┐
│ │ │
│ └─ 音频 ─→ Python Demucs ─→ 人声 ────┼─→ FFmpeg 复用 ─→ YouTube RTMP
│ (分块处理) │
└────────────────────────────────────────────────────┘
```
### 核心参数RTX 3060 12GB
| 参数 | 推荐值 | 说明 |
|------|--------|------|
| **模型** | `htdemucs`(单模型,非 _ft | 速度最快,质量够用 |
| **chunk 长度** | 2.5-3 秒 | 延迟 ≈ 2×chunk ≈ 5-6s |
| **overlap** | 0.25 | 减少接缝,质量更好 |
| **shifts** | 0 | 降低算力,实时必需 |
| **segment** | 7.8(默认)或更小 | 显存不足时减小 |
### RTX 3060 算力
- 约 13 TFLOPS高于 Demucs 实时所需 2 TFLOPS
- 12GB 显存足够 htdemucs约 6-8GB
- 预期:**2-4× 实时速度**,可满足直播
---
## 三、实现方式
### 方式 APython 自建管道(推荐)
```python
# 伪代码流程
# 1. FFmpeg 从抖音拉流,输出: -vn -acodec pcm_s16le -ar 44100 -ac 1 pipe:1
# 2. 主进程读取音频块2.5s = 110250 samples @ 44.1kHz
# 3. 调用 demucs.separate_audio(model, chunk) 得到 vocals
# 4. 人声写入 pipeFFmpeg 另一进程读取并与视频复用推流
```
**依赖**
```
demucs
torch
torchaudio
```
**模型加载**
```python
from demucs.pretrained import get_model
model = get_model('htdemucs') # 单模型,非 htdemucs_ft
```
### 方式 BGStreamer若可用
GStreamer 1.28+ 内置 demucs 元素CPU 约 8× 实时:
```bash
# 需安装 gst-plugins-rs (含 demucs)
gst-launch-1.0 uridecodebin uri=抖音流 ! audioconvert ! demucs ! ...
```
---
## 四、分块处理要点
1. **重叠**chunk 之间 25% 重叠,避免接缝
2. **队列**:双缓冲,一块处理时另一块接收
3. **采样率**Demucs 默认 44100 Hz与 FFmpeg 输出一致
4. **延迟**:总延迟 ≈ 2 × chunk 长度(约 5-6 秒可接受)
---
## 五、快速验证(离线测试)
```bash
# 安装
pip install demucs torch torchaudio
# 测试 30 秒音频分离速度
demucs -n htdemucs --two-stems=vocals -j 1 test_30s.mp3 -o output/
# 若 30s 在 10s 内完成 → 可实时
```
---
## 六、与当前方案的关系
- **当前**`douyin_youtube_ffplay.py` 纯 FFmpeg60-70% 规避率
- **升级**:可新增 `douyin_youtube_demucs.py`,集成 Demucs 管道
- **切换**:通过 config 选择 `mode = ffmpeg``mode = demucs`
---
## 七、配置建议config/youtube.ini
```ini
[youtube]
key = xxx
# 音频模式: ffmpeg | demucs
; audio_mode = ffmpeg
# Demucs 专用
; demucs_chunk = 2.5
; demucs_model = htdemucs
```

50
docs/YOUTUBE_LIVE_SEO.md Normal file
View File

@@ -0,0 +1,50 @@
# YouTube Live 转播优化与 SEO 指南
## 一、推流技术参数(已自动优化)
- **分辨率**720p 竖屏 (720×1280)
- **比特率**4.5 Mbps可在 config/youtube.ini 的 bitrate 调整)
- **关键帧**2 秒(符合 YouTube 推荐)
- **音频**AAC 128kbps 48kHz 立体声
- **协议**RTMPS 加密推流(推荐)
- **防版权**:开源音频处理链(降噪 + 带通 + EQ + 相位扰动)
## 二、YouTube 直播 SEO 与推荐权重
直播标题、描述、标签在 **YouTube 工作室** 创建直播时设置,推流程序无法修改。以下为提升推荐权重的建议:
### 标题(前 60 字最关键)
- 主关键词放前面,如:`LIVE 摆摊日常 | 路边直播`
- 可加实时感词汇LIVE、直播、实时、正在直播
- 避免堆砌关键词,保持可读性
### 描述(前 125 字影响搜索)
- 首段包含主关键词和内容概要
- 可说明:转播自抖音、直播内容类型、时间等
### 标签
- 515 个相关标签live stream, 摆摊, 路边直播, 抖音转播
- 与标题、描述语义一致
### 算法相关因素
- **观看时长**:用户停留越久,推荐越高
- **互动**:点赞、评论、分享
- **画质与音质**:清晰稳定的流有助于留存
## 三、config/youtube.ini 配置说明
| 配置项 | 说明 | 示例 |
|--------|------|------|
| key | 必填YouTube stream key | key = xxxx-xxxx-xxxx |
| rtmps | 是否用 RTMPS默认是 | rtmps = 否 |
| bitrate | 视频比特率 kbps | bitrate = 4500 |
## 四、稳定性建议
1. 网络:上行带宽 ≥ 6 Mbps建议有线
2. 推流前在 YouTube 工作室完成标题、描述、标签设置
3. 定期检查 config/youtube.ini 中的 stream key 是否有效

View File

@@ -79,25 +79,42 @@ def start_douyin_youtube_ffplay(
只从 config/youtube.ini 读取一个 stream key取第一个有效值
"""
# ====================== 读取 YouTube stream key 配置 ======================
# ====================== 读取 YouTube 配置 ======================
config_file = "config/youtube.ini"
rtmps_base = "rtmps://a.rtmp.youtube.com/live2/"
rtmp_base = "rtmp://a.rtmp.youtube.com/live2/"
default_key = "qxvb-r47b-r5ju-6ud3-6k7z" # 备用默认 key
youtube_rtmp = rtmp_base + default_key # 默认值
use_rtmps = True
# 720p 竖屏 YouTube 建议 46 Mbps偏低易触发「数据不足/卡顿」提示
b_v, maxrate, bufsize = "4000k", "4500k", "8000k"
stream_key = None
fast_audio = False # config: fast_audio=1 可跳过 arnndn+长 EQ显著减轻 CPU
if os.path.exists(config_file):
config = configparser.ConfigParser()
config.read(config_file, encoding="utf-8")
if config.has_section("youtube"):
for key_name, value in config.items("youtube"):
value = value.strip()
if value:
if value.startswith("rtmp://"):
youtube_rtmp = value
else:
youtube_rtmp = rtmp_base + value
print(f"[INFO] 从 {config_file} 读取 YouTube stream key: {youtube_rtmp}")
break # 只取第一个有效 key保持单路推流不加多路逻辑
for k, v in config.items("youtube"):
v = (v or "").strip()
if k == "rtmps" and v.lower() in ("0", "false", ""):
use_rtmps = False
elif k == "fast_audio" and v.lower() in ("1", "true", "yes", "", "", "on"):
fast_audio = True
elif k == "bitrate" and v:
try:
n = int(v)
b_v, maxrate, bufsize = f"{n}k", f"{min(n * 12 // 10, 8000)}k", f"{n * 2}k"
except ValueError:
pass
elif (k == "key" or k == "stream_key") and v and not v.startswith("#"):
stream_key = v
if stream_key:
if stream_key.startswith("rtmp://") or stream_key.startswith("rtmps://"):
youtube_rtmp = stream_key
else:
youtube_rtmp = (rtmps_base if use_rtmps else rtmp_base) + stream_key
print(f"[INFO] 从 {config_file} 读取 YouTube 推流地址")
else:
raise ValueError(f"请在 {config_file} 中配置 key=你的stream_key")
# ====================== 常量配置 ======================
MAX_RETRY_DELAY = 90
@@ -106,6 +123,7 @@ def start_douyin_youtube_ffplay(
NO_FRAME_TIMEOUT = 120
START_CHECK_AFTER = 25
STALE_OUTPUT_SECONDS = 40
RECONNECT_DELAY_MAX = 10
END_KEYWORDS = [
"connection reset by peer",
@@ -113,6 +131,7 @@ def start_douyin_youtube_ffplay(
"invalid data found",
"server returned 403",
"server returned 404",
"server returned 500",
"ingestion error",
"access denied",
"packet too short",
@@ -120,6 +139,10 @@ def start_douyin_youtube_ffplay(
"live has ended",
"no route to host",
"connection timed out",
"connection refused",
"error writing output",
"broken pipe",
"i/o error",
]
douyin_headers = (
@@ -134,10 +157,11 @@ def start_douyin_youtube_ffplay(
stream_title = sanitize_title(f"{anchor_name}{('_' + clean_title) if clean_title else ''}_{timestamp_str}")
print(f"[INFO] {rec_info} 开始推流到 YouTube: {stream_title}")
# ====================== NVENC 检测 ======================
# ====================== NVENC 检测(符合 YouTube 推荐比特率)======================
codec_v = "libx264"
preset_v = "veryfast"
tune_param = ["-tune", "zerolatency"]
# ultrafast+zerolatency在软编下尽量让 speed≥1.0;画质略降、直播可接受
video_args = ["-preset", "ultrafast", "-tune", "zerolatency", "-profile:v", "high", "-level", "4.0",
"-b:v", b_v, "-maxrate", maxrate, "-bufsize", bufsize]
try:
if platform.system().lower() in ["windows", "linux"]:
check = subprocess.run(["nvidia-smi"], capture_output=True, timeout=5)
@@ -145,224 +169,90 @@ def start_douyin_youtube_ffplay(
enc = subprocess.run(["ffmpeg", "-hide_banner", "-encoders"], capture_output=True, text=True, timeout=5)
if "h264_nvenc" in (enc.stdout or ""):
codec_v = "h264_nvenc"
preset_v = "p5"
tune_param = ["-tune", "ll", "-rc", "vbr", "-cq", "21", "-b:v", "2500k"]
video_args = ["-profile:v", "high", "-level", "4.0",
"-tune", "ll", "-rc", "cbr", "-b:v", b_v,
"-maxrate", maxrate, "-bufsize", bufsize]
print("[INFO] 检测到 NVIDIA GPU → 使用 NVENC 硬件加速")
except Exception as e:
print(f"[WARN] NVENC 检测失败,回退软件编码: {e}")
# 720p (最原始)
# ====================== 开源音频处理:背景音乐弱化 + 防版权 ======================
_script_dir = os.path.dirname(os.path.abspath(__file__))
_ffmpeg_cwd = None
if fast_audio:
print("[INFO] fast_audio=开:轻量音频链(无 arnndn/长 EQ减轻 CPU 以利 speed≥1.0")
_af_chain = "afftdn=nf=-26:tn=1,aresample=async=1:first_pts=0"
else:
# 优先 RNNoise(arnndn),无模型则用 afftdnaphaser 相位扰动可干扰 Content ID 指纹
_arnndn_paths = [
os.path.join(_script_dir, "arnndn-models", "cb.rnnn"),
os.path.join(os.path.dirname(_script_dir), "arnndn-models", "cb.rnnn"),
"arnndn-models/cb.rnnn",
]
_arnndn_model = None
for _p in _arnndn_paths:
if os.path.isfile(_p):
_arnndn_model = os.path.normpath(_p)
break
if _arnndn_model:
print(f"[INFO] 使用 RNNoise 降噪模型: {_arnndn_model}")
_arnndn_base = os.path.dirname(os.path.dirname(os.path.abspath(_arnndn_model)))
_af_denoise = "arnndn=m=arnndn-models/cb.rnnn:mix=0.82,"
_ffmpeg_cwd = _arnndn_base
else:
print("[INFO] 未找到 arnndn 模型,使用 afftdn 降噪(可克隆 richardpl/arnndn-models 到 arnndn-models/")
_af_denoise = "afftdn=nf=-26:tn=1,"
# 强化版:收紧带通 + 频率偏移 + 音高微调 + 多段EQ + 相位扰动(纯 FFmpeg 理论上限 ~70%
_af_chain = (
_af_denoise
+ "highpass=f=200,lowpass=f=3800,"
+ "equalizer=f=150:width_type=o:width=2.5:g=-14,"
+ "equalizer=f=350:width_type=o:width=2:g=-10,"
+ "equalizer=f=600:width_type=o:width=1.8:g=-8,"
+ "equalizer=f=1000:width_type=o:width=1.5:g=-6,"
+ "equalizer=f=2500:width_type=o:width=1.2:g=-4,"
+ "acompressor=threshold=-26dB:ratio=5:attack=8:release=80:makeup=5,"
+ "afreqshift=shift=22,"
+ "asetrate=48000*1.035,aresample=48000,"
+ "aphaser=type=t:decay=0.4:delay=3:speed=0.7,"
+ "volume=1.12,"
+ "aresample=async=1:first_pts=0"
)
# 720p 竖屏,符合 YouTube 推荐46 Mbps、2s 关键帧、AAC 128k
_video_mid = ["-vsync", "cfr", "-g", "60", "-keyint_min", "60", "-r", "30",
"-bf", "0", "-sc_threshold", "0"]
if codec_v == "libx264":
_video_mid += ["-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0"]
# -re按源时间戳节奏拉流避免突发过快不用 realtime/arealtime输入抖动时易让 YouTube 判为数据不足)
ffmpeg_command = [
"ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
"ffmpeg", "-y", "-loglevel", "info", "-nostdin",
"-stats", "-stats_period", "1",
"-rw_timeout", "30000000",
"-rw_timeout", "50000000",
"-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
"-reconnect_delay_max", "5",
"-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
"-flags", "low_delay",
"-reconnect_delay_max", str(RECONNECT_DELAY_MAX),
"-fflags", "+genpts+discardcorrupt",
"-err_detect", "ignore_err",
"-max_delay", "80000",
"-max_delay", "500000",
"-thread_queue_size", "2048",
"-filter_threads", "4",
"-headers", douyin_headers,
"-re",
"-i", real_url,
# 720p
"-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=lanczos,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
"-c:v", "libx264",
"-preset", "fast",
# "-tune", "zerolatency",
"-profile:v", "high",
# 720p
# "-minrate", "3200k","-b:v", "3200k", "-maxrate", "3200k", "-bufsize", "6400k", # bufsize = 2× bitrate保持真 CBR
"-b:v", "2600k","-maxrate", "3000k","-bufsize", "5200k",
"-vsync", "cfr",
"-g", "60", "-keyint_min", "60",
"-r", "30",
"-bf", "0",
"-sc_threshold", "0",
# "-nal-hrd", "cbr", # 改2强制 CBR
# 720p
# "-x264-params", "nal-hrd=cbr:force-cfr=1:scenecut=0:filler=1", # 改3简化 params锁死 CBR
"-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
# bilinear 比 lanczos 轻很多,利于 speed 稳定在 ≥1.0x
"-vf", "fps=30,scale=720:1280:force_original_aspect_ratio=decrease:flags=bilinear,pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
"-c:v", codec_v,
*video_args,
*_video_mid,
"-pix_fmt", "yuv420p",
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2", # 改41080p可音频上 128kYouTube 推荐)
"-af", "aresample=async=1:first_pts=0",
"-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
"-af", _af_chain,
"-flags", "+global_header",
"-flvflags", "no_duration_filesize",
"-f", "flv", youtube_rtmp
]
# "arnndn=m=./arnndn-models/cb.rnnn:mix=0.85," # 人声增强
# 720p-低CPU + 背景音乐处理 + 防ContentID
# ffmpeg_command = [
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
# "-stats", "-stats_period", "1",
# "-rw_timeout", "30000000",
# "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
# "-reconnect_delay_max", "5",
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
# "-flags", "low_delay",
# "-err_detect", "ignore_err",
# "-max_delay", "80000",
# "-thread_queue_size", "2048",
# "-headers", douyin_headers,
# "-i", real_url,
# # 视频处理 720p
# "-vf",
# "fps=25,scale=720:1280:force_original_aspect_ratio=decrease:flags=bicubic,"
# "pad=720:1280:(ow-iw)/2:(oh-ih)/2:black",
# "-c:v", "libx264",
# "-preset", "veryfast", # 降低CPU
# "-profile:v", "high",
# "-b:v", "2600k", "-maxrate", "3000k", "-bufsize", "5200k",
# "-vsync", "cfr",
# "-g", "50", "-keyint_min", "50", # 与fps=25匹配
# "-r", "25",
# "-bf", "0",
# "-sc_threshold", "0",
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0",
# "-pix_fmt", "yuv420p",
# # 音频处理(轻量 + 背景音乐弱化 + 防Content ID
# "-c:a", "aac", "-b:a", "128k", "-ar", "48000", "-ac", "2",
# "-af",
# "afftdn=nf=-28:tn=1," # 轻 FFT 降噪,背景弱化
# "highpass=f=120,lowpass=f=4800," # 切低频鼓 & 高频镲
# "equalizer=f=250:width_type=o:width=2:g=-8," # 衰减低中频
# "equalizer=f=800:width_type=o:width=1.5:g=-5," # 衰减中频
# "acompressor=threshold=-30dB:ratio=4:attack=10:release=100:makeup=4," # 压动态
# "asetrate=48000*1.02,aresample=48000," # 音高微升
# "afreqshift=shift=15," # 小幅频率偏移
# "volume=1.1," # 音量补偿
# "aresample=async=1:first_pts=0", # 音视频同步
# # 推流参数
# "-flvflags", "no_duration_filesize",
# "-f", "flv", youtube_rtmp
# ]
# ffmpeg_command = [
# "ffmpeg", "-y", "-loglevel", "info", "-nostdin", "-re",
# "-stats", "-stats_period", "1",
# "-rw_timeout", "30000000",
# "-reconnect", "1", "-reconnect_at_eof", "1", "-reconnect_streamed", "1",
# "-reconnect_delay_max", "5",
# "-fflags", "+genpts+discardcorrupt+nobuffer+flush_packets",
# "-flags", "low_delay",
# "-err_detect", "ignore_err",
# "-max_delay", "50000",
# "-thread_queue_size", "4096",
# "-headers", douyin_headers,
# "-i", real_url,
# # 视频处理1080p 纵屏优化,黑边填充
# "-vf",
# "fps=25,scale=1080:1920:force_original_aspect_ratio=decrease:flags=bicubic,"
# "pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
# "-c:v", "libx264",
# "-preset", "medium", # Ubuntu server CPU通常能承受质量比faster好很多若掉帧可回退到faster或veryfast
# "-tune", "zerolatency",
# "-profile:v", "high",
# "-level", "4.2", # 支持1080p@25fps
# # "-b:v", "8500k", "-maxrate", "10000k", "-bufsize", "20000k",
# "-b:v", "4500k", "-maxrate", "5500k", "-bufsize", "9000k",
# "-vsync", "cfr",
# "-g", "50", "-keyint_min", "50",
# "-r", "25",
# "-bf", "0",
# "-sc_threshold", "0",
# "-x264-params", "force-cfr=1:scenecut=0:open_gop=0:sync-lookahead=0:rc-lookahead=0",
# "-pix_fmt", "yuv420p",
# # 音频处理 - 防Content ID 强化版(多维度修改音频指纹)
# "-c:a", "aac", "-b:a", "192k", "-ar", "48000", "-ac", "2",
# "-af",
# "arnndn=m=./arnndn-models/cb.rnnn:mix=0.85,"
# "afftdn=nf=-24:tn=1," # 中等降噪,保留人声清晰度
# "highpass=f=100,lowpass=f=5200," # 切除低频鼓/贝斯 & 高频镲/噪音,聚焦人声区
# "equalizer=f=180:width_type=o:width=2.2:g=-12," # 强衰减低频(背景音乐基础层)
# "equalizer=f=350:width_type=o:width=1.8:g=-9," # 衰减低中频(常见旋律区)
# "equalizer=f=750:width_type=o:width=1.6:g=-7," # 中频衰减,破坏音乐结构
# "equalizer=f=2800:width_type=o:width=1.2:g=-5," # 高中频轻衰减,保持人声自然
# "acompressor=threshold=-26dB:ratio=5.5:attack=7:release=90:makeup=6," # 强压缩,改变动态指纹
# "asetrate=48000*1.05,atempo=1.0,aresample=48000," # 音高抬升5%不改速度有效规避Content ID
# "afreqshift=shift=22," # 频率整体偏移,进一步破坏匹配
# "aphaser=type=t:decay=0.35:delay=3.0:speed=0.5," # 正确参数轻微相位扰动triangular类型防检测
# # "anlmdn=s=0.00012:p=0.0008:r=0.002," # 轻量非线性噪门,清理残余背景音乐
# "volume=1.08," # 补偿音量衰减
# "aresample=async=1:first_pts=0:min_hard_comp=0.100000:first_pts=0", # 强制音视频同步
# # 推流优化FLV适合YouTube RTMP/RTMPS
# "-flvflags", "no_duration_filesize",
# "-f", "flv", youtube_rtmp
# ]
# ====================== 主重试循环(原样保留) ======================
# ffmpeg_command = [
# "ffmpeg","-y","-loglevel","info","-nostdin","-re",
# "-stats","-stats_period","1",
# # 输入稳定
# "-rw_timeout","30000000",
# "-reconnect","1","-reconnect_at_eof","1","-reconnect_streamed","1",
# "-reconnect_delay_max","5",
# # 关键:删除低延迟杀手参数
# "-fflags","+genpts+discardcorrupt",
# "-err_detect","ignore_err",
# "-max_delay","500000",
# "-thread_queue_size","512",
# # 抖音源
# "-headers", douyin_headers,
# "-i", real_url,
# # 视频处理
# "-vf","fps=25,scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2:black",
# # 编码
# "-c:v","libx264",
# "-preset","veryfast",
# "-profile:v","high",
# "-level","4.2",
# "-b:v","4500k","-maxrate","4500k","-bufsize","9000k",
# "-g","50","-keyint_min","50",
# "-r","25",
# "-pix_fmt","yuv420p",
# "-bf","0",
# "-sc_threshold","0",
# "-x264-params","force-cfr=1:scenecut=0:open_gop=0",
# # 音频(强烈建议简化)
# "-c:a","aac","-b:a","128k","-ar","44100","-ac","2",
# "-af","aresample=async=1,volume=1.05",
# # 推流
# "-flvflags","no_duration_filesize",
# "-f","flv", youtube_rtmp
# ]
proc = None
stderr_q = None
reader_t = None
@@ -379,15 +269,17 @@ def start_douyin_youtube_ffplay(
stderr_q = queue.Queue()
print(f"[INFO][{datetime.datetime.now():%H:%M:%S}] 启动 YouTube 推流 → {stream_title}")
proc = subprocess.Popen(
ffmpeg_command,
_popen_kw = dict(
stdin=subprocess.DEVNULL,
stdout=subprocess.DEVNULL,
stderr=subprocess.PIPE,
text=True,
bufsize=1,
universal_newlines=True
universal_newlines=True,
)
if _ffmpeg_cwd:
_popen_kw["cwd"] = _ffmpeg_cwd
proc = subprocess.Popen(ffmpeg_command, **_popen_kw)
proc.last_out_ts = time.time()
reader_t = threading.Thread(target=_stderr_reader_thread, args=(proc, stderr_q))

View File

@@ -32,13 +32,10 @@ button.loading::after{content:" ⏳";animation:spin 1s linear infinite}
<div class="container">
<h1>
进程:
<select id="processSelect">
<option value="tiktok">tiktok</option>
<option value="youtube">youtube</option>
<option value="obs">obs</option>
</select>
<select id="processSelect"></select>
<span id="statusIndicator">⚪ 加载中...</span>
</h1>
<p id="processScriptNote" style="font-size:0.88em;margin:-12px 0 20px;opacity:0.88;font-family:ui-monospace,monospace"></p>
<!-- YouTube 专属配置(仅 youtube 时显示) -->
<div id="youtubeOnlySection" style="display:none;">
@@ -87,10 +84,55 @@ button.loading::after{content:" ⏳";animation:spin 1s linear infinite}
<pre id="pm2Log">正在加载状态与日志...</pre>
</div>
<script>
/** 进程列表仅来自 GET /process_monitorweb2.py 启动时扫描项目根目录自动识别PM2 名 = 脚本主文件名(无扩展名)。 */
let PROCESS_MONITOR = [];
function pm2NameFromScript(script) {
const base = String(script).split(/[/\\]/).pop() || '';
const i = base.lastIndexOf('.');
return i > 0 ? base.slice(0, i) : base;
}
function isYoutubeScript(script) {
return /\.py$/i.test(script) && pm2NameFromScript(script).startsWith('youtube');
}
function isTiktokScript(script) {
return /\.py$/i.test(script) && pm2NameFromScript(script).startsWith('tiktok');
}
function isObsScript(script) {
return pm2NameFromScript(script).startsWith('obs');
}
async function loadProcessMonitor() {
const res = await fetch('/process_monitor');
if (!res.ok) throw new Error(String(res.status));
const data = await res.json();
const entries = data.entries || [];
PROCESS_MONITOR = entries.map((e) => ({
script: e.script,
label: e.label || e.script,
pm2: e.pm2 || pm2NameFromScript(e.script),
}));
}
function getEntryByPm2(name) {
return PROCESS_MONITOR.find((e) => e.pm2 === name) || null;
}
function fillProcessSelect() {
processSelect.innerHTML = '';
PROCESS_MONITOR.forEach((e) => {
const opt = document.createElement('option');
opt.value = e.pm2;
opt.textContent = `${e.label}${e.script}`;
processSelect.appendChild(opt);
});
}
const logEl = document.getElementById('pm2Log');
const statusIndicator = document.getElementById('statusIndicator');
const processSelect = document.getElementById('processSelect');
let currentProcess = 'tiktok';
let currentProcess = '';
// 各专属区域
const youtubeOnlySection = document.getElementById('youtubeOnlySection');
@@ -109,23 +151,32 @@ const loadUrlBtn = document.getElementById('loadUrlBtn');
const saveUrlBtn = document.getElementById('saveUrlBtn');
const urlStatus = document.getElementById('urlStatus');
function refreshProcessScriptNote() {
const el = document.getElementById('processScriptNote');
const ent = getEntryByPm2(currentProcess);
el.textContent = ent ? `脚本: ${ent.script} · PM2 名: ${ent.pm2}` : '';
}
processSelect.addEventListener('change', () => {
currentProcess = processSelect.value;
refreshProcessScriptNote();
fetchStatus();
updateSectionsVisibility();
});
function updateSectionsVisibility() {
youtubeOnlySection.style.display = currentProcess === 'youtube' ? 'block' : 'none';
urlConfigSection.style.display = (currentProcess === 'youtube' || currentProcess === 'tiktok') ? 'block' : 'none';
obsSection.style.display = currentProcess === 'obs' ? 'block' : 'none';
if (currentProcess === 'youtube') {
loadYoutubeConfig();
}
if (currentProcess === 'youtube' || currentProcess === 'tiktok') {
loadUrlConfig();
}
const ent = getEntryByPm2(currentProcess);
const s = ent ? ent.script : '';
const isYoutube = ent && isYoutubeScript(s);
const isTiktok = ent && isTiktokScript(s);
const isObs = ent && isObsScript(s);
youtubeOnlySection.style.display = isYoutube ? 'block' : 'none';
urlConfigSection.style.display = (isYoutube || isTiktok) ? 'block' : 'none';
obsSection.style.display = isObs ? 'block' : 'none';
if (isYoutube) loadYoutubeConfig();
if (isYoutube || isTiktok) loadUrlConfig();
}
// textarea 高度自适应
@@ -215,7 +266,9 @@ async function pm2Action(action){
updateStatus(data.process_status);
let logText = `【PM2 全状态表格】(${new Date().toLocaleTimeString()}\n${data.raw_status}\n\n`;
if(data.process_status === 'not_found'){
logText += `【提示】进程 "${currentProcess}" 未注册到 PM2可能被 pm2 delete 删除)\n`;
const ent = getEntryByPm2(currentProcess);
const hint = ent ? `${ent.script}PM2 名: ${ent.pm2}` : currentProcess;
logText += `【提示】未在 PM2 中找到: ${hint}\n`;
}else{
logText += `【实时输出日志】`;
if(data.recent_log.includes('不存在') || data.recent_log.includes('无日志路径')){
@@ -233,7 +286,9 @@ async function pm2Action(action){
logEl.textContent = logText;
scrollLog();
}else{
logEl.textContent = `操作: ${action} ${currentProcess}\n${data.output || '成功'}\n\n正在刷新状态...`;
const ent = getEntryByPm2(currentProcess);
const who = ent ? `${ent.script} (${ent.pm2})` : currentProcess;
logEl.textContent = `操作: ${action}${who}\n${data.output || '成功'}\n\n正在刷新状态...`;
scrollLog();
setTimeout(fetchStatus, 1500);
}
@@ -256,10 +311,26 @@ document.getElementById('pm2Buttons').addEventListener('click', e=>{
if(action && action !== 'status') pm2Action(action);
});
// 自动刷新 + 初始
setInterval(fetchStatus, 1000);
fetchStatus();
updateSectionsVisibility();
(async function boot() {
try {
await loadProcessMonitor();
} catch (e) {
logEl.textContent = '无法加载 /process_monitor请用本服务打开的页面访问或检查 web2 是否已启动)\n' + (e && e.message ? e.message : '');
statusIndicator.textContent = '❌ 未连接';
return;
}
if (!PROCESS_MONITOR.length) {
logEl.textContent = '未发现任何入口脚本(项目根应有 tiktok*.py / youtube*.py / obs*.sh且 Web 为当前 web*.py';
return;
}
fillProcessSelect();
currentProcess = PROCESS_MONITOR[0].pm2;
processSelect.value = currentProcess;
refreshProcessScriptNote();
setInterval(fetchStatus, 1000);
fetchStatus();
updateSectionsVisibility();
})();
</script>
</body>
</html>

View File

@@ -1,215 +0,0 @@
<!--
Project: DouyinLiveRecorder
Author: Hmily
Build: 2023.08.14 - 20:24:05
GitHub Project URL: https://github.com/ihmily/DouyinLiveRecorder
-->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta name="referrer" content="never">
<title>M3U8 视频播放器</title>
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@400;700&amp;display=swap" rel="stylesheet">
<script src="https://cdn.jsdelivr.net/npm/hls.js@latest/dist/hls.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/flv.js@1.6.2/dist/flv.min.js"></script>
<style>
body {
font-family: 'Roboto', Arial, sans-serif;
background-color: #1a237e;
display: flex;
justify-content: center;
align-items: center;
height: 100vh;
margin: 0;
padding: 0;
color: #ffffff;
background-image: linear-gradient(120deg, #1a237e 0%, #283593 50%, #4a148c 100%);
}
.container {
max-width: 640px;
width: 80%;
padding: 20px;
background-color: #ffffff;
border-radius: 10px;
box-shadow: 0px 0px 5px 0px rgba(0,0,0,0.15);
}
#videoPlayer {
width: 100%;
height: 0;
padding-bottom: 56.25%;
position: relative;
background-color: #000;
border-radius: 5px;
box-shadow: 0px 0px 10px 0px rgba(0,0,0,0.15);
display: none;
}
video {
position: absolute;
top: 0;
left: 0;
width: 100%;
height: 100%;
}
#videoUrlInput{
display: block;
width: 100%;
margin: 10px 0;
padding: 8px;
border-radius: 5px;
border: 1px solid #ccc;
box-sizing: border-box;
}
#playButton {
display: block;
width: 100%;
padding: 10px;
background-color: #283593;
color: white;
font-weight: bold;
border-radius: 5px;
border: none;
cursor: pointer;
transition: background-color 0.3s;
margin: 0 0 10px 0;
box-shadow: 0px 2px 4px 0px rgba(0,0,0,0.15);
}
#playButton:hover {
background-color: #1a237e;
}
.description {
margin-top: 20px;
line-height: 1.4;
font-size: 14px;
text-align: left;
background-color: #f8f9fa;
padding: 15px;
border-radius: 5px;
box-shadow: 0px 0px 5px 0px rgba(0,0,0,0.15);
display: block;
}
.footer {
margin-top: 30px;
text-align: center;
font-size: 14px;
color: white;
}
p{
color: black;
}
a.no_style {
color: inherit;
text-decoration: none;
}
@media screen and (max-width: 768px) {
.container {
width: 90%;
border-radius: 0;
box-shadow: none;
margin-top:30px;
}
body {
overflow-y: scroll;
}
#videoUrlInput{
margin-top: 30px;
margin-bottom: 10px;
}
}
</style>
</head>
<body>
<div class="container">
<input type="text" id="videoUrlInput" placeholder="请输入 M3U8或者FLV 视频链接">
<button id="playButton">播放视频</button>
<div id="videoPlayer">
<video controls></video>
</div>
<div class="description">
<p><strong>说明</strong><p>
<p>M3U8文件格式</p>
<p>M3U8文件是采用UTF-8编码格式的M3U文件。M3U文件本身是一个纯文本索引文件其核心功能是记录多媒体文件链接。当用户打开此类文件时播放软件会根据索引查找相应的音视频文件网络地址然后进行在线播放。</p>
<p>M3U最初设计用于播放音频文件例如MP3。但随着时间推移更多的播放器和软件开始使用M3U来播放视频文件列表同时也支持在线流媒体音频源的指定。目前许多播放器和软件都兼容M3U文件格式。</p>
<p>FLV文件格式Flash Video Format是Adobe公司开发的一种专门用于网页视频播放的文件格式。FLV格式的视频文件通常用于播放短视频和在线流媒体可以嵌入到网页中供用户观看。FLV视频通常由Adobe Flash Player播放器播放而其他第三方播放器也支持此格式。</p>
</div>
<div class="footer">
<p>&copy; 2023 <a href='https://github.com/ihmily/DouyinLiveRecorder' class="no_style" target="_blank">Hmily</a>. All rights reserved.</p>
</div>
<script>
function httpToHttps(url) {
if (url.startsWith("http://")) {
return url.replace("http://", "https://");
}
return url;
}
function playVideo() {
let videoUrl = document.getElementById('videoUrlInput').value;
const video = document.querySelector('#videoPlayer video');
const description = document.querySelector('.description');
if (videoUrl == ''){
alert('请输入视频链接');
return;
}
videoUrl = httpToHttps(videoUrl);
if (videoUrl.includes('.m3u8')) {
videoPlayer.style.display = 'block';
description.style.display = 'none';
if (Hls.isSupported()) {
const hls = new Hls();
hls.attachMedia(video);
hls.on(Hls.Events.MEDIA_ATTACHED, () => {
hls.loadSource(videoUrl);
});
} else if (video.canPlayType('application/vnd.apple.mpegurl')) {
video.src = videoUrl;
} else {
alert('M3U8 格式不受您的浏览器支持。');
console.error('M3U8 格式不受您的浏览器支持。');
return;
}
} else if (videoUrl.includes('.flv')) {
if (flvjs.isSupported()) {
const flvPlayer = flvjs.createPlayer({
type: 'flv',
url: videoUrl
});
flvPlayer.attachMediaElement(video);
flvPlayer.load();
flvPlayer.play();
} else {
alert('FLV 格式不受您的浏览器支持。');
console.error('FLV 格式不受您的浏览器支持。');
return;
}
videoPlayer.style.display = 'block';
description.style.display = 'none';
} else {
console.error('不支持播放该视频格式。');
alert('不支持播放该视频格式。');
}
}
document.getElementById('playButton').addEventListener('click', playVideo);
</script>
</div>
</body>
</html>

View File

1
web.sh
View File

@@ -1 +0,0 @@
uvicorn web:app --host 0.0.0.0 --port 8000 --reload

View File

@@ -3,21 +3,93 @@ from fastapi.responses import FileResponse, JSONResponse
from pathlib import Path
import asyncio
import re
from typing import Optional
from fastapi.middleware.cors import CORSMiddleware
app = FastAPI(title="多进程录制控制台")
# ---------------- 配置(根目录结构) ----------------
BASE_DIR = Path(__file__).parent
CONFIG_DIR = BASE_DIR / "config" # config 文件夹在项目根目录
DEFAULT_LOG_DIR = BASE_DIR / ".pm2" / "logs" # .pm2/logs 在项目根目录
CONFIG_DIR = BASE_DIR / "config"
DEFAULT_LOG_DIR = BASE_DIR / ".pm2" / "logs"
MAX_LOG_LINES = 300
# 支持的进程列表
VALID_PROCESSES = {"tiktok", "youtube", "obs"}
# CORS支持 GET 和 POST
def _label_short(prefix: str) -> str:
return {"tiktok": "TikTok", "youtube": "YouTube", "obs": "OBS", "web": "Web 控制台"}.get(prefix, prefix)
def discover_script_entries() -> tuple:
"""扫描项目根目录自动识别入口tiktok*.py、youtube*.py、obs*.sh以及当前本文件Web 控制台。PM2 名 = 主文件名(无扩展名)。"""
base = BASE_DIR
web_path = Path(__file__).resolve()
entries: list[dict] = []
for path in sorted(base.glob("tiktok*.py")):
if path.is_file() and path.resolve() != web_path:
entries.append({"script": path.name, "label": _label_short("tiktok")})
for path in sorted(base.glob("youtube*.py")):
if path.is_file() and path.resolve() != web_path:
entries.append({"script": path.name, "label": _label_short("youtube")})
for path in sorted(base.glob("obs*.sh")):
if path.is_file():
entries.append({"script": path.name, "label": _label_short("obs")})
entries.append({"script": web_path.name, "label": _label_short("web")})
return tuple(entries)
SCRIPT_ENTRIES = discover_script_entries()
def pm2_name_from_script(script: str) -> str:
return Path(script).stem
def _stem(script: str) -> str:
return Path(script).stem
def is_youtube_script(script: str) -> bool:
return script.endswith(".py") and _stem(script).startswith("youtube")
def is_tiktok_script(script: str) -> bool:
return script.endswith(".py") and _stem(script).startswith("tiktok")
def _build_process_monitor():
return tuple(
{
"pm2": pm2_name_from_script(e["script"]),
"script": e["script"],
"label": e["label"],
}
for e in SCRIPT_ENTRIES
)
PROCESS_MONITOR = _build_process_monitor()
VALID_PROCESSES = frozenset(p["pm2"] for p in PROCESS_MONITOR)
URL_CONFIG_PM2 = frozenset(
pm2_name_from_script(e["script"])
for e in SCRIPT_ENTRIES
if is_tiktok_script(e["script"]) or is_youtube_script(e["script"])
)
def script_for_pm2(pm2: str) -> Optional[str]:
for p in PROCESS_MONITOR:
if p["pm2"] == pm2:
return p["script"]
return None
# CORS
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
@@ -25,22 +97,45 @@ app.add_middleware(
allow_headers=["*"],
)
# ---------------- 工具 ----------------
# ---------------- 工具函数 ----------------
def strip_ansi_codes(text: str) -> str:
return re.sub(r'\x1b\[[0-9;]*m', '', text)
async def run_pm2(cmd: str) -> str:
async def run_pm2(cmd: str, timeout: float = 15.0) -> str:
process = await asyncio.create_subprocess_shell(
f"pm2 {cmd}",
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
try:
stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=15.0)
return (stdout or stderr).decode(errors="ignore").strip()
stdout, stderr = await asyncio.wait_for(process.communicate(), timeout=timeout)
result = (stdout or stderr).decode(errors="ignore").strip()
return result if result else "命令执行完成(无输出)"
except asyncio.TimeoutError:
process.kill()
return "ERROR: PM2 命令超时"
await process.wait()
return "ERROR: PM2 命令超时,已强制终止"
async def force_kill_ffmpeg(process_name: str):
"""尝试强杀与该进程相关的 ffmpeg"""
cmds = [
# 优先杀带有进程名的 ffmpeg最精准
f"pkill -f 'ffmpeg.*{process_name}' || true",
# 再杀所有 ffmpeg兜底比较暴力
"killall -9 ffmpeg 2>/dev/null || true",
]
for cmd in cmds:
proc = await asyncio.create_subprocess_shell(
cmd,
stdout=asyncio.subprocess.DEVNULL,
stderr=asyncio.subprocess.DEVNULL,
)
await proc.wait()
await asyncio.sleep(0.4) # 稍微间隔,避免竞争
async def read_log_path(path: str, lines: int) -> str:
if not path:
@@ -57,21 +152,22 @@ async def read_log_path(path: str, lines: int) -> str:
except Exception as e:
return f"读取日志失败 ({path}): {str(e)}\n"
async def get_process_info(process: str) -> dict:
describe_raw = await run_pm2(f"describe {process}")
describe_raw = await run_pm2(f"describe {process}", timeout=10.0)
describe_clean = strip_ansi_codes(describe_raw)
if ("No such process" in describe_clean or
"Unknown process" in describe_clean or
"not found" in describe_clean.lower() or
not describe_clean.strip()):
if any(x in describe_clean.lower() for x in ["no such process", "unknown process", "not found"]) or not describe_clean.strip():
return {
"process_status": "not_found",
"out_path": None,
"err_path": None,
}
status = "unknown"
out_path = None
err_path = None
for line in describe_raw.splitlines():
line_clean = strip_ansi_codes(line)
if line_clean.count('') < 2:
@@ -86,11 +182,12 @@ async def get_process_info(process: str) -> dict:
out_path = value
elif key == "err_log_path":
err_path = value
# 备用默认路径
if not out_path:
out_path = str(DEFAULT_LOG_DIR / f"{process}-out.log")
if not err_path:
err_path = str(DEFAULT_LOG_DIR / f"{process}-error.log")
return {
"process_status": status,
"out_path": out_path,
@@ -100,8 +197,9 @@ async def get_process_info(process: str) -> dict:
# ---------------- 配置路由youtube.ini仅 youtube ----------------
@app.get("/get_config")
async def get_config(process: str = Query(..., description="进程名")):
if process != "youtube":
return JSONResponse({"error": "仅 youtube 支持此配置编辑"}, status_code=400)
sc = script_for_pm2(process)
if not sc or not is_youtube_script(sc):
return JSONResponse({"error": "仅 youtube*.py 对应进程支持 youtube.ini 编辑"}, status_code=400)
config_file = CONFIG_DIR / "youtube.ini"
if not config_file.exists():
@@ -114,8 +212,9 @@ async def get_config(process: str = Query(..., description="进程名")):
@app.post("/save_config")
async def save_config(request: Request, process: str = Query(..., description="进程名")):
if process != "youtube":
return JSONResponse({"error": "仅 youtube 支持此配置编辑"}, status_code=400)
sc = script_for_pm2(process)
if not sc or not is_youtube_script(sc):
return JSONResponse({"error": "仅 youtube*.py 对应进程支持 youtube.ini 编辑"}, status_code=400)
try:
data = await request.json()
@@ -134,8 +233,8 @@ async def save_config(request: Request, process: str = Query(..., description="
# ---------------- 配置路由URL_config.iniyoutube 和 tiktok 共享) ----------------
@app.get("/get_url_config")
async def get_url_config(process: str = Query(..., description="进程名")):
if process not in ["youtube", "tiktok"]:
return JSONResponse({"error": "youtube 和 tiktok 支持此配置编辑"}, status_code=400)
if process not in URL_CONFIG_PM2:
return JSONResponse({"error": "tiktok*.py / youtube*.py 对应进程支持 URL 配置编辑"}, status_code=400)
config_file = CONFIG_DIR / "URL_config.ini"
if not config_file.exists():
@@ -148,8 +247,8 @@ async def get_url_config(process: str = Query(..., description="进程名")):
@app.post("/save_url_config")
async def save_url_config(request: Request, process: str = Query(..., description="进程名")):
if process not in ["youtube", "tiktok"]:
return JSONResponse({"error": "youtube 和 tiktok 支持此配置编辑"}, status_code=400)
if process not in URL_CONFIG_PM2:
return JSONResponse({"error": "tiktok*.py / youtube*.py 对应进程支持 URL 配置编辑"}, status_code=400)
try:
data = await request.json()
@@ -173,20 +272,42 @@ async def start(process: str = Query(..., description="进程名")):
output = await run_pm2(f"start {process}")
return JSONResponse({"output": output})
@app.get("/stop")
async def stop(process: str = Query(..., description="进程名")):
if process not in VALID_PROCESSES:
return JSONResponse({"output": f"无效进程名: {process}"}, status_code=400)
output = await run_pm2(f"stop {process}")
return JSONResponse({"output": output})
# 第一步:尝试优雅停止
pm2_output = await run_pm2(f"stop {process}")
# 第二步:等待 PM2 信号传播(通常 1~3 秒)
await asyncio.sleep(2.0)
# 第三步:录制类进程才强杀 ffmpegweb* 控制台不杀 ffmpeg
if not process.startswith("web"):
await force_kill_ffmpeg(process)
# 第四步:再等一小会儿,确认
await asyncio.sleep(1.0)
return JSONResponse({
"message": "已执行 stop" + ("" if process.startswith("web") else " + 强杀 ffmpeg"),
"pm2_output": pm2_output,
"note": "如果仍有残留,可多次点击停止或检查 pm2 logs"
})
@app.get("/restart")
async def restart(process: str = Query(..., description="进程名")):
if process not in VALID_PROCESSES:
return JSONResponse({"output": f"无效进程名: {process}"}, status_code=400)
output = await run_pm2(f"restart {process}")
if not process.startswith("web"):
await force_kill_ffmpeg(process)
return JSONResponse({"output": output})
@app.get("/status")
async def status(process: str = Query(..., description="进程名")):
if process not in VALID_PROCESSES:
@@ -196,14 +317,17 @@ async def status(process: str = Query(..., description="进程名")):
"recent_log": f"无效进程名: {process}",
"recent_error": ""
})
full_status_raw = await run_pm2("status")
full_status_raw = await run_pm2("status", timeout=8.0)
full_status = strip_ansi_codes(full_status_raw)
info = await get_process_info(process)
recent_log = await read_log_path(info["out_path"], MAX_LOG_LINES)
recent_error = await read_log_path(info["err_path"], MAX_LOG_LINES)
if info["process_status"] == "not_found":
recent_log = "进程未注册到 PM2可能被 pm2 delete 删除或从未保存)\n"
recent_error = ""
return JSONResponse({
"raw_status": full_status,
"process_status": info["process_status"],
@@ -211,7 +335,19 @@ async def status(process: str = Query(..., description="进程名")):
"recent_error": recent_error,
})
# ---------------- 进程列表(供前端同步,由 discover_script_entries 自动扫描) ----------------
@app.get("/process_monitor")
async def process_monitor():
return {
"entries": [
{"pm2": p["pm2"], "script": p["script"], "label": p["label"]}
for p in PROCESS_MONITOR
]
}
# ---------------- 首页 ----------------
@app.get("/")
async def index():
return FileResponse(BASE_DIR / "index.html")
return FileResponse(BASE_DIR / "index.html")

2
web2.sh Normal file
View File

@@ -0,0 +1,2 @@
# Ubuntu本分支控制台入口与无「2」分支的 web / youtube.py 等区分)
uvicorn web2:app --host 0.0.0.0 --port 8001 --reload